Dynamic simulation of brushless DC drive considering phase commutation and backemf waveform for electromechanical actuator

Rani, B. Indu; Tom, Ashly Mary

doi:10.1109/tencon.2008.4766608

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…Since the real value may differ from what is predicted by a simulation, an error may arise. There are a number of simulation models for the examination of BLDC motors [11][12][13][14]. Another model features a true back-EMF waveform with a shape that is very similar to a sinusoidal shape, which is one of the models under consideration.…”

Section: Figure 1 Equivalent Circuit Of Bldcmmentioning

confidence: 99%

Brushless DC Motor Modeling and Simulation in the MATLAB/SIMULINK Software Environment

Manda¹,

Veeramalla²

2021

AMA_B

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The brushless DC motors (BLDCM) are capable of maintaining a constant speed in situations where speed and power are controlled at the same time. This motor, compared to DC motors, is able to generate far more power and simultaneously operate. An open-loop BLDCM output with hardware support and a three-segment method on closed-loop BLDCM were both examined in this study. The research provides a brushless DC motor model that considers the motor's commutation behavior. To make sure that the drive system for BLDC motors works properly, it is important to know the exact torque value, which is based on the back-EMF. The BLDC motor is simulated in MATLAB/Simulink after a basic mathematical model is developed. In open-loop circuits, the intensity may be adjusted by varying the pulse width (or duty), and the motor speed can be increased or decreased by altering the input voltage. Pulse widths and speeds are measured and compared to real-world hardware in this study. This paper presents a comparison of the outcomes of the BLDC motors based on the examination of time responses.

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Section: Figure 1 Equivalent Circuit Of Bldcmmentioning

confidence: 99%

Brushless DC Motor Modeling and Simulation in the MATLAB/SIMULINK Software Environment

Manda¹,

Veeramalla²

2021

AMA_B

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“…There are many references dealing with the modelling and simulation of EMAs at a system level. On the one hand, most of them are related to a single engineering task such as motor control (e.g., motor drive [4], control performance [5], or health monitoring [6,7]). Consequently, the proposed models fail to support development and validation efficiently when the above-mentioned crosslinks play a significant role.…”

Section: Introductionmentioning

confidence: 99%

Practical Considerations in the Modelling and Simulation of Electromechanical Actuators

Maré

2020

Actuators

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The work reported here was aimed at improving the practical efficiency of the model-based development and integration of electromechanical actuators. Models are proposed to serve as preliminary design, virtual prototyping, and validation. The first part focuses on the early phases of a project in order to facilitate the identification of modelling needs and constraints, and to build a top-level electromechanical actuator model for preliminary studies and sub-specification. Detailed modelling and simulation are then addressed with a mixed view on the control, power capability, and thermal balance. Models for the power chain are firstly considered by focusing on the key practical issues in modelling the electric motor, power electronics, and mechanical power transmission. The same logic is applied to the signal and control chain with practical considerations concerning the parameters of the controller, its digital implementation, the sensors, and their signal conditioning. Numerous orders of magnitude are provided to justify the choices made and to facilitate decision-making for and through simulation activities.

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DC motor parameter identification using equation error method

2017

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Dynamic simulation of brushless DC drive considering phase commutation and backemf waveform for electromechanical actuator

Cited by 5 publications

References 8 publications

Brushless DC Motor Modeling and Simulation in the MATLAB/SIMULINK Software Environment

Brushless DC Motor Modeling and Simulation in the MATLAB/SIMULINK Software Environment

Practical Considerations in the Modelling and Simulation of Electromechanical Actuators

DC motor parameter identification using equation error method

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